Dimitri Zafirov | Expert in technical applications like -: Bloomberg, Thomson One Financial, etc.

Dimitri Zafirov is an expert in different kind of technical applications like -: Bloomberg, Thomson One Financial, Capital IQ and Datastream. Zafirov also experienced in performing financial forecasting, operational metrics, and reporting. For more information visit -: https://www.linkedin.com/in/dimitri-zafirov-7a6783163

Dimitri Zafirov | Best Financial Analyst

Financial analysts deeply asses the financial condition of the business to bring vital insights for a business management team to act upon. Financial analyst allows the businesses to make the right investment decisions and they do this by analyzing the bonds, stocks and other investments to determine how they can profit the business. A financial analyst gives insights that usually result in large profits and reduced risk.

It's evident that a financial analyst plays a vital role in business management; however, finding the right analyst is a job that’s difficult. Dimitri Zafirov is one of the stellar financial analysts who holds a doctoral degree from UCLA Anderson School of Business. His experience in the field is outstanding. Zafirov has a diploma in computer science technology from Dawson college and he earned his bachelor's degree in commerce in finance. Dimitri earned his master of science degree from the University of Montreal in applied economics.

Dimitri’s knowledge about his field can be determined by the fact that he has successfully garnered two excellence awards in his program at HEC Montreal Institute. The thesis on the macroeconomic effects of government debt management that he presented won the title of the best master’s thesis.

Zafirov graduated from the University of Montreal in 2015 and after that, he worked in the financial field and research for many years. He served as a research assistant on various projects in Letko-Brosseau & Associates.

Athan Zafirov is an expert in technical applications including Bloomberg, Thomson One Financial, Capital IQ and Datastream. He is experienced in performing financial forecasting, operational metrics, and reporting. He offers financial decision support by analyzing financial data and creating financial models.

Dimitri is also experienced in equity research analysis where he keeps an eye on the securities market. He gives accurate recommendations by monitoring market data and reading news reports. As an investment analyst, Zafirov knows how to research the assets and recommend the buy and sell options. He analyzes the economic trends and assesses complicated financial information while writing financial research summaries and good recommendations. The recommendations given by Dimitri are used by investment managers who work for the management firms. Dimitri offers unbiased professional skepticism along with solid research to give an anticipated target price of the company’s security in the future. Dimitri also conducts research to offer the valuation reports of certain stocks, organizations, and sectors. Based on such reports, he gives earning estimates of the company’s future earnings. Earning estimates can be used to produce consensus estimates through which a firm’s actual performance is assessed.

Dimitri has great interpersonal skills and has elevated thinking capacity along with acute visionary skills for finances which have taken him very far in his career. The effective researches and the timely delivery of the services make him an ideal financial analyst.

Dimitri Zafirov | How Do Machines Learn?

A scholar with a background in finance and economics, Dimitri Zafirov is working toward his doctorate in accounting at the University of California, Los Angeles (UCLA). Dimitri Zafirov’s research interests include the potential applications of machine learning.

When a machine proves capable of learning, it means that it can perform tasks that it was not originally programmed to perform. Such machines develop “skills” as a result of the datasets that they examine, and they do so with minimal or even no intervention of a human.

This differs from the traditional computer programming model. In that model, a human makes a program. The human runs the program on a computer to make sense of data also input by a human. The computer then produces useful output.

To train a computer to learn, humans give the computer data as well as useful output related to that data. The computer then runs through that data and output, designing its own program in the process. Humans can then evaluate that machine-designed program to determine its effectiveness in performing the task at hand.

Machine learning has staggering potential to transform the world. For example, computers may one day prove better than humans at learning from and accurately interpreting diagnostic data, such as those produced by body scans. They may also, by means of the vast quantity of data they can process, prove better than humans at making accurate predictions regarding financial risk.